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      Long‐term changes in trophic ecology of blue mussels in a rapidly changing ecosystem

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          CAN STABLE ISOTOPE RATIOS PROVIDE FOR COMMUNITY-WIDE MEASURES OF TROPHIC STRUCTURE?

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            Growth rate-stoichiometry couplings in diverse biota

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              Comparing isotopic niche widths among and within communities: SIBER - Stable Isotope Bayesian Ellipses in R.

              1. The use of stable isotope data to infer characteristics of community structure and niche width of community members has become increasingly common. Although these developments have provided ecologists with new perspectives, their full impact has been hampered by an inability to statistically compare individual communities using descriptive metrics. 2. We solve these issues by reformulating the metrics in a Bayesian framework. This reformulation takes account of uncertainty in the sampled data and naturally incorporates error arising from the sampling process, propagating it through to the derived metrics. 3. Furthermore, we develop novel multivariate ellipse-based metrics as an alternative to the currently employed Convex Hull methods when applied to single community members. We show that unlike Convex Hulls, the ellipses are unbiased with respect to sample size, and their estimation via Bayesian inference allows robust comparison to be made among data sets comprising different sample sizes. 4. These new metrics, which we call SIBER (Stable Isotope Bayesian Ellipses in R), open up more avenues for direct comparison of isotopic niches across communities. The computational code to calculate the new metrics is implemented in the free-to-download package Stable Isotope Analysis for the R statistical environment. © 2011 The Authors. Journal of Animal Ecology © 2011 British Ecological Society.
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                Author and article information

                Contributors
                (View ORCID Profile)
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                Journal
                Limnology and Oceanography
                Limnol Oceanogr
                Wiley
                0024-3590
                1939-5590
                October 26 2020
                Affiliations
                [1 ]Department of Ecology, Environment and Plant Sciences Stockholm University Stockholm Sweden
                [2 ]Center for Physical Sciences and Technology Vilnius Lithuania
                [3 ]Department of Mathematical Statistics Stockholm University Stockholm Sweden
                [4 ]Stockholm University Baltic Sea Centre Stockholm Sweden
                Article
                10.1002/lno.11633
                a918e20d-b614-4f00-b673-71bfc2767489
                © 2020

                http://creativecommons.org/licenses/by-nc/4.0/

                http://doi.wiley.com/10.1002/tdm_license_1.1


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